Digital Commons Network^™

Evaluation Of The Quality Of Care In Nursing Homes, Mónica Bustos Villarreal, Nairovys Gómez Martínez, Roberto Enrique Alvarado Chacón

Neutrosophic Sets and Systems

No abstract provided.

Automation And Optimization Of Industrial Scale Essential Oil Extraction From Citrus Peel Using A Neutrosophic Control System Model, Manuel Michael Beraún-Espíritu, Ketty Marilú Moscoso-Paucarchuco, Luis Enrique Espinoza-Quispe, Fabricio Miguel Moreno-Menéndez, Jesús César Sandoval-Trigos, Edson Hilmer Julca-Marcelo, Bheny Janett Tuya-Cerna, Edgar Gutiérrez-Gómez

Neutrosophic Sets and Systems

No abstract provided.

Characterization Of Social Skills And Emotion Management Of Students In A Public Peruvian University Based On Plithogenic Statistics And Indeterminate Likert Scale, Camayo-Lapa, Becquer Frauberth, Flores Ledesma Katia Ninozca, Liz Evelyn Landa-Guadalupe, Miguel Angel Quispe-Solano,, Porta Erika Amelia De La Cruz, Bulnes Jorge Luis López, Carlos Francisco Cabrera Carranza, Agueda Saturnina Choque Mandamiento

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Modeling Of Healthcare Resource Allocation, Olivia Elizabeth Altamirano Guerrero, Neyda De Las Mercedes Hernández Bandera, Lexter Iván Mihalache Bernal, José Sergio Puig Espinosa

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Perspectives In Healthcare Decision-Making: Navigating Complexity With Ethics, Information, And Collaboration, Alex Gabriel Lara Jacome, Elizabeth Mayorga Aldaz, Miguel Ramos Argilagos, Darvin Manuel Ramírez Guerra

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Approaches To Emotional Intelligence Measurement, Gustavo Alvarez Gómez, Corona Gómez Armijos, Ariel Romero Fernández, Julio Cesar Dupotey Hernández

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Approaches To Epidemic And Pandemic Response, Daniel Alejandro Arroyo Zumarraga, María Fernanda Cueva Moncayo, Enrique Rodríguez Reyes, Rodolfo González Ortega

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Analysis Of Group Dynamics And Teamwork, Jeannette Amparito Urrutia Guevara, Edmundo Enrique Pino Andrade, Ned Vito Quevedo Arnaiz, Dante Manuel Macazana Fernández

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Approaches To Environmental Law And Policy, Santiago Fernando Fiallos Bonilla, Diego Fernando Coka Flores, Janneth Ximena Iglesias Quintana, Víctor Raúl Reátegui Paredes

Neutrosophic Sets and Systems

No abstract provided.

Ethics In Medical Research And Experimentation, Carlos Castañeda Guillot, Icler Sisalema Aguilar, Alex Valencia Herrera, Wilder Fabio Ramos Palacios

Neutrosophic Sets and Systems

No abstract provided.

An Overview Of Neutrosophic Theory In Medicine And Healthcare, Ahmed K. Essa, Ramiz Sabbagh, A. A. Salama, Huda E. Khalid, Abdul-Aziz A. Aziz, Ahmed A. Mohammed

Neutrosophic Sets and Systems

No abstract provided.

Stable Complexity: Verbal Inflection In Prominent And Frequent Environments, Lukas Denk

Linguistics ETDs

Despite presenting challenges for speakers, complex linguistic features such as lexically conditioned inflection (LCI) persist across different languages. LCI forms part of not entirely predictable paradigms which require lexeme-specific knowledge to master. Moreover, LCI remains one of the oldest morphological phenomena in certain languages. Previous research has linked the persistence of such complexity to language-external factors like geographic and social circumstances of speech communities.

This dissertation delves into the question whether language-internal properties are associated with the distribution of inflectional complexity. LCI is compared with other inflectional paradigms across 41 genetically and geographically distant languages. The study shows that LCI …

Dryland Vegetation Mapping Using High Spatial-Temporal Resolution Satellite Imagery In New Mexico: A Comparison Of Phenological Time-Series Transformation Methods, Pratistha Sharma

Geography ETDs

New Mexico's drylands are undergoing notable vegetation changes due to rising aridity, higher temperatures, and shifts in precipitation with changing climate. Mapping drylands through remote sensing is challenging compared to mesic systems due to the irregular patterns of rainfall-driven phenology and weaker vegetation absorption signals. This study aims to enhance vegetation mapping in New Mexico, utilizing a high-resolution, frequently revisited PlanetScope dataset with multispectral capabilities, specifically chosen for its suitability for time-series analysis. The challenge with high spatial and temporal data lies in the overwhelming volume, leading to issues like the curse of dimensionality, overfitting, data redundancy, collinearity, and visualization …

A Bio-Inspired Alternative Positioning, Navigation, And Timing Approach Based On A Potential Game-Theoretic Model, Md Sadman Siraj

Electrical and Computer Engineering ETDs

This thesis addresses the challenge of designing of alternative Positioning, Navigation, and Timing (PNT) solutions. Inspired by the evolution of biological ecosystems, we introduce a novel symbiotic PNT solution, based on the principles of Game Theory and the exploitation of Reconfigurable Intelligent Surfaces (RISs). A set of actors, consisting of anchor nodes and RISs with known coordinates, collaborator nodes having a rough estimate of their positions, and targets of unknown positions, are cooperating to accurately determine the targets’ positioning and timing. The key objective is to minimize the estimation error of each target and collaborator node, as well as of …

Radio Insights Into Gamma-Ray Mysteries, Seth M. Bruzewski

Physics & Astronomy ETDs

In the time since its launch, the \textit{Fermi Gamma-Ray Space Telescope} has provided new and unparalleled views of the $\gamma$-ray sky, dramatically increasing our understanding of sources of high-energy radiation. During that same time, however, its ``unassociated'' sources have provided a consistent mystery: approximately one third of the modern gamma-ray sky remains completely unaccounted for in other electromagnetic regimes. While some of the fainter sources simply pose challenges in achieving the necessary signal-to-noise ratio, others are well constrained and have resisted traditional investigations for years, and in some cases, for over a decade. Radio astronomy has traditionally been the best …

"I Know The Dream Mine Is True": Mormons, Mining, And The Making Of "Bad Religion" In Early Twentieth-Century Utah, Christine V. Shell

American Studies ETDs

In 1894, folksy Mormon farmer-turned-prophet John H. Koyle, Jr, dreamed that an angel from the Book of Mormon showed him where and how to mine for golden ore and Book of Mormon treasures. Shortly afterwards, Koyle and a handful of friends established the “Dream Mine” at the revealed location, and as word spread additional workers joined the cause—for this was a mine destined to save the Church of Jesus Christ of Latter-day Saints and its members from financial and spiritual ruin during the long-foretold apocalyptic “Last Days.”

Koyle’s followers took delight and solace from their participation in the Dream Mine’s …

Bitcoin Price Modeling Using Machine Learning Algorithms, Azadeh Golduzian

Mathematics & Statistics ETDs

Forecasting in financial markets with various technologies is critical nowadays. The Bitcoin cryptocurrency has grown in popularity in recent years, and as a result, many people all around the world have attempted to forecast its price. To improve forecast accuracy, we must employ multiple types of data and diverse approaches. This thesis combines textual and financial data and employs statistical methods and machine learning to forecast Bitcoin's price as precisely as possible. We show the performance of each strategy using Bitcoin data at the end of each chapter.

Control Of Fully-Actuated Aerial Manipulators And Omni-Directional Multirotors, Riley M. Mccarthy

Mechanical Engineering ETDs

This thesis details the system modeling, design, control, simulation, construction, and
testing of both a fully-actuated and omni-directional multirotor aerial system created
for the primary purpose of performing active tasks with their environment. This work
verifies the capabilities of both systems through empirical testing, and demonstrates
how through the use of new control methods and physical designs multirotors can
expand their purpose from passive inspection based tasks to active contact based
tasks. These systems take advantage of newly implemented control allocation features present in the PX4 flight control software, version 1.14. The use of which makes designing controllers for such …

Smart Applications And Resource Management In Internet Of Things, Zeinab Akhavan

Computer Science ETDs

Internet of Things (IoT) technologies are currently the principal solutions driving smart cities. These new technologies such as Cyber Physical Systems, 5G and data analytic have emerged to address various cities' infrastructure issues ranging from transportation and energy management to healthcare systems. An IoT setting primarily consists of a wide range of users and devices as a massive network interacting with different layers of the city infrastructure resulting in generating sheer volume of data to enable smart city services. The goal of smart city services is to create value for the entire ecosystem, whether this is health, education, transportation, energy, …

Aerodynamic Dimpling For The Nose Cone Of A High-Power Competition Rocket, Graham Geoffrey Monroe

Mechanical Engineering ETDs

This thesis investigates nose cone dimpling for the reduction of the aerodynamic drag of a Level 3 High-Power amateur rocket. Two rocket launches were conducted. The first used a COTS nose cone with a smooth surface. A dimple distribution was created according to dimensions calculated by Sandia National Laboratories’ proprietary Right- Size Dimple Evaluator. A dimpled nose cone, designed with geometry matching the COTS component, was 3D printed. Axial acceleration and barometric pressure data, recorded by an onboard flight computer, were used to calculate and plot the drag coefficient as a function of the Reynolds number for the smooth and …

Colloid Fabrication For Biomedical Engineering Applications Through Droplet Microfluidics, Lewis I. Larsen

Biomedical Engineering ETDs

The goal of this work was to leverage soft colloid fabrication through droplet microfluidics to improve the biomedical fields of radiotracer microspheres for selective internal radiation therapy (SIRT) and 3D hydrogel tissue constructs for cell culture with future potential as a platform to study liver diseases and drug response. The importance of positron emission tomography (PET) imaging microspheres infused with positron-emitting radioisotopes such as Ga-68, Cu-64, and F-18 is that they accurately map tumor-to-liver uptake (TLR) ratio and lung shunting factor of hepatocellular carcinoma. These pretreatment radiotracers model the intravascular accumulation behavior of radioactive therapeutic Y-90 SIRT microspheres. Qualifying patients, …

Roadside Lidar Data Processing For Intelligent Transportation System, Md Parvez Mollah

Computer Science ETDs

Roadside LiDAR (Light Detection and Ranging) sensors are recently being explored for Intelligent Transportation System aiming at safer and faster traffic management and vehicular operations. However, massive data volume, occlusion, and limited viewing angles are significant obstacles to the widespread use of roadside LiDARs. In this dissertation, we address three major challenges to enable applications of Intelligent Transportation System through roadside LiDAR data: (i) real-time transmission of the massive point-cloud data from the roadside LiDAR devices to the cloud using 5G network, (ii) mitigating sensor occlusion problem to increase coverage and detect events occurred in occluded regions of a sensor, …

Computational Study Of The Effect Of Geometry On Molecular Interactions, Sarika Kumar

Computer Science ETDs

The specificity and predictability of DNA make it an excellent programmable material and have allowed bio-programmers to build sophisticated molecular circuits. These molecular devices should be precise, correct, and function as intended. In order to implement these circuits, the challenge is to build a robust, reliable, and scalable logic circuit with ideally minimum unwanted signal release. Performing experiments are expensive and time-consuming, so modeling and analyzing these bio-molecular systems become crucial in designing molecular circuits. This dissertation aimed to develop algorithms and build computational tools for automated analysis of molecular circuits that incorporate the molecular geometry of nanostructures. Molecular circuits …

Neurobehavioral And Eeg Characteristics In Latino Targets Of Bullying, Isabel Solis

Psychology ETDs

Bullying adversely impacts the well-being and development of youth, calling for a comprehensive understanding of its neurobehavioral and social mechanisms for targeted interventions. Despite the increasing demographic of Latino children, little is known about their early life experiences and individual traits that leave them susceptible to becoming targets of bullying. The present study utilized a mixed-methods design to address this gap, incorporating interviews, neuropsychological assessments, and resting-state EEG (rsEEG) spectral power within the alpha (8-13Hz) and theta (4-7Hz) frequency bands. The aim was to compare the cognitive, emotional, social, and neural characteristics of nine Latino Targets (LT) of bullying and …

Volumetric Imaging Using The Pupil-Matched Remote Focusing Technique In Light-Sheet Microscopy, Sayed Hassan Dibaji Foroushani

Optical Science and Engineering ETDs

ABSTRACT

The dissertation explores innovative techniques in light sheet microscopy, a pivotal tool in biomedical imaging, to enhance its speed, resolution, and efficiency in capturing dynamic biological processes. Light sheet microscopy allows for quick 3D imaging of biological specimens ranging from cells to organs with high spatiotemporal resolution, large field-of-view, and minimal damage, making it vital for in vivo imaging.

The first project introduces a novel optical concept designed to optimize Axially Swept Light Sheet Microscopy (ASLM). This technique is crucial for imaging specimens ranging from live cells to chemically cleared organs due to its versatility across different immersion media. …

Modeling Lithographic Quantum Dots And Donors For Quantum Computation And Simulation, Mitchell Ian Brickson

Physics & Astronomy ETDs

Our first focus is on few-hole quantum dots in germanium. We use discontinous Galerkin methods to discretize and solve the equations of a highly detailed k·p model that describes these systems, enabling a better understanding of experimental magnetospectroscopy results. We confirm the expected anisotropy of single-hole g-factors and describe mechanisms by which different orbital states have different g-factors. Building on this, we show that the g-factors in Ge holes are suciently sensitive to details of the device electrostatics that magnetospectroscopy data can be used to make a prediction of the underlying confinement potential. The second focus is on designing quantum …

Preferences For Cpstf-Recommended Intervention Approaches For Increasing Cancer Screening Among Screen-Eligible Adults In Zuni Pueblo, Usa., Nicholas Edwardson, Mikaela Kosich, V Shane Pankratz, Judith Sheche, Kate Cartwright, Deborah Kanda, Samantha Leekity, Shiraz I. Mishra

Pediatrics Research and Scholarship

We identified preferences toward Community Preventive Services Task Force (CPSTF)-recommended intervention approaches among screen-eligible Zuni Pueblo members in New Mexico, USA and assessed if there were significant differences in those preferences, with the goal of informing the selection of intervention approaches for use in the Zuni Pueblo. We utilize data from a population-based survey (n = 280) focused on 15 CPSTF-recommended intervention approaches designed to improve screening for cervical, breast, and/or colorectal cancer screening. Model-adjusted results suggest some intervention approaches garnered significantly higher support than others. We offer six, data-driven recommendations for consideration by public health practitioners as they endeavor …

Extremum Seeking Control Algorithms For Extremely High Frequency Antenna System Pointing, Scott Shore

Mechanical Engineering ETDs

The research examines the application of extremum seeking control (ESC) algorithms to ground station antenna pointing for extremely high frequency (EHF) communication systems. ESC algorithms search for local maxima or minima by locating where an objective function gradient goes to zero. With wireless communication expanding into higher frequencies, the ground station pointing requirement is increasing. ESC presents a method which utilizes available equipment and information to perform ground station pointing. Additionally, ESC algorithms do not rely on assumptions or approximations needed for other techniques. The dissertation demonstrates ESC algorithm feasibility for the ground station pointing problem, benchmarks the ESC algorithms …

Post-Wildfire Export Regimes Of Solutes Along The Gallinas-Pecos River-Santa Rosa Fluvial Network, Asmita Kaphle

Civil Engineering ETDs

Wildfires significantly contribute to water pollution when ash and sediments, including nutrients and metals, are released into fluvial systems, impacting aquatic ecosystems and surrounding communities. This study focuses on the impacts of the Hermits Peak-Calf Canyon Fire on the Gallinas and Pecos watersheds. It employs five monitoring stations along a 190km fluvial network to assess solute export regimes post-fire, where grab samples were collected for nutrient and metal analyses for a period of more than a year. The metrics used for characterizing mobilization, chemostatic, or dilution patterns indicated mobilization for most solutes at all sites upstream of Santa Rosa Lake. …

Ai Assisted Workflows For Computational Electromagnetics And Antenna Design, Oameed Noakoasteen

Electrical and Computer Engineering ETDs

These days large volumes of data can be recorded and manipulated with relative ease. If valuable information can be extracted from them, these vast amounts of data can be a rich resource not just for the digital economy but also for scientific discovery and development of technology. When it comes to deriving valuable information from data, Machine Learning (ML) emerges as the key solution. To unlock the potential benefits of ML to science and technology, extensive research is needed to explore what algorithms are suitable and how they can be applied.

To shine light on various ways that ML can …